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pith:2026:UFNMQTM3CZRSICCJNKAEVPYBPU
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Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines

Sadman Kabir Soumik

Style bias dominates LLM judges at 0.76-0.92 strength across models, dwarfing position bias, while combined debiasing improves agreement for some judges by over 11 points.

arxiv:2604.23178 v2 · 2026-04-25 · cs.AI

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4 Citations open
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Claims

C1strongest claim

Style bias is the dominant bias (0.76-0.92 across all models), far exceeding position bias (<= 0.04), yet has received minimal research attention.

C2weakest assumption

The chosen benchmarks (MT-Bench, LLMBar, and the custom set) and bias measurement protocols accurately isolate the targeted biases without introducing confounding artifacts from the test data itself or from how responses were generated.

C3one line summary

Style bias dominates LLM-as-a-Judge systems far more than position bias, with debiasing strategies providing model-dependent gains and public tools released for replication.

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1 paper in Pith

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First computed 2026-06-25T01:18:38.181048Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a15ac84d9b16632408496a804abf017d37fff889dd71edf862751ed24cb6be94

Aliases

arxiv: 2604.23178 · arxiv_version: 2604.23178v2 · doi: 10.48550/arxiv.2604.23178 · pith_short_12: UFNMQTM3CZRS · pith_short_16: UFNMQTM3CZRSICCJ · pith_short_8: UFNMQTM3
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UFNMQTM3CZRSICCJNKAEVPYBPU \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: a15ac84d9b16632408496a804abf017d37fff889dd71edf862751ed24cb6be94
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-04-25T07:18:30Z",
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